As we gain more efficiency from ever-better ML models, we are left with increasingly complex ML use cases that, in turn, pose greater HITL challenges. In this talk, Ryan Tavakolfar, Strategic Solutions Engineer at Sama, will share examples of addressing complex HITL challenges, such as annotating long sequences and using pre-annotations for efficiency, through insights-driven approaches and solutions. The presentation will also touch on some key considerations for data labeling in the world of Generative AI.

We’ll discuss using insights-driven approaches to solve:

• Annotating long sequences with high accuracy & at scale
• Leveraging auto-labeling to meaningfully improve efficiency
• Setting yourself up for HITL success in a Gen AI world